randomForest (version 4.6-6)

varImpPlot: Variable Importance Plot

Description

Dotchart of variable importance as measured by a Random Forest

Usage

varImpPlot(x, sort=TRUE, n.var=min(30, nrow(x$importance)),
           type=NULL, class=NULL, scale=TRUE, 
           main=deparse(substitute(x)), ...)

Arguments

x

An object of class randomForest.

sort

Should the variables be sorted in decreasing order of importance?

n.var

How many variables to show? (Ignored if sort=FALSE.)

type, class, scale

arguments to be passed on to importance

main

plot title.

...

Other graphical parameters to be passed on to dotchart.

Value

• Invisibly, the importance of the variables that were plotted.

See Also

randomForest, importance

Examples

set.seed(4543)
data(mtcars)
mtcars.rf <- randomForest(mpg ~ ., data=mtcars, ntree=1000, keep.forest=FALSE,
                          importance=TRUE)
varImpPlot(mtcars.rf)